JRF: Joint Random Forest (JRF) for the Simultaneous Estimation of Multiple Related Networks
Version 0.1-4

Simultaneous estimation of multiple related networks.

AuthorFrancesca Petralia Developer [aut, cre], Pei Wang Developer [aut], Zhidong Tu Developer [aut], Won-min Song Developer [aut], Adele Cutler Developer [ctb], Leo Breiman Developer [ctb], Andy Liaw Developer [ctb], Matthew Wiener Developer [ctb]
Date of publication2016-10-25 20:31:57
MaintainerFrancesca Petralia Developer <francesca.petralia@mssm.edu>
LicenseGPL (>= 2)
Version0.1-4
URL https://www.r-project.org
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("JRF")

Popular man pages

JRF: Joint Random Forest for the simultaneous estimation of...
JRF_network: Compute FDR of importance scores and return class-specific...
JRF_permutation: Derive importance scores for permuted data.
Run_permutation: Derive importance scores for M permuted data sets.
See all...

All man pages Function index File listing

Man pages

JRF: Joint Random Forest for the simultaneous estimation of...
JRF_network: Compute FDR of importance scores and return class-specific...
JRF_permutation: Derive importance scores for permuted data.
Run_permutation: Derive importance scores for M permuted data sets.

Functions

JRF Man page
JRF_network Man page Source code
JRF_permutation Man page
Run_permutation Man page
importance Source code Source code

Files

src
src/rf.h
src/regTree.c
src/regrf.c
NAMESPACE
R
R/JRF_network.R
R/JRF_permutation.R
R/JRF.R
R/Run_permutation.R
MD5
DESCRIPTION
man
man/JRF_permutation.Rd
man/JRF.Rd
man/Run_permutation.Rd
man/JRF_network.Rd
JRF documentation built on May 20, 2017, 1:09 a.m.

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs in the GitHub issue tracker.

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